Wave Energy Scotland has awarded nearly £1 million in funding to two projects for the development of advanced control systems for wave energy devices.
The aim of both projects is to significantly reduce the cost of generating electricity by increasing the amount of energy that can be captured.
MaxSim and Queen Mary University lead the two projects, and will demonstrate their systems in wave tanks in Scotland.
The first project aims to use reinforcement learning for the study of good control policies for several classes of wave energy converters (WEC’s). The second project aims to demonstrate a technology that helps significantly reduce the life installed capacity cost of WECs.
The latest funding brings Wave Energy Scotland’s total investment in wave energy projects to £39.6 million.
Tim Hurst, Managing Director of WES said: “I’m delighted to see these projects going into stage three to conduct a physical demonstration of their advanced control system concepts. Both offer promising solutions to managing the efficiency and safety of wave energy converters.”